MARC Record from marc_columbia

LEADER: 02331cam a22003493i 4500
001 10578972
005 20180618182429.0
006 m o d
007 cr |n||||a||||
008 131223s2012 nyu|||| om 00| ||eng d
035 $a(OCoLC)867754069
035 $a(OCoLC)ocn867754069
035 $a(NNC)ACfeed:legacy_id:ac:144745
035 $a(NNC)ACfeed:doi:10.7916/D88P66HW
035 $a(NNC)10578972
040 $aNNC$beng$erda$cNNC
100 1 $aZhao, Jun.
245 10 $aInhibition stabilized network model in the primary visual cortex /$cJun Zhao.
264 1 $a[New York, N.Y.?] :$b[publisher not identified],$c2012.
300 $a1 online resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
502 $aThesis (Ph.D.)--Columbia University, 2012.
500 $aDepartment: Physics.
500 $aThesis advisor: Allan S. Blaer.
520 $aIn this paper, we studied neural networks of both excitatory and inhibitory populations with inhibition stabilized network (ISN) models. In ISN models, the recurrent excitatory connections are so strong that the excitatory sub-network is unstable if the inhibitory firing rate is fixed; however, the entire network is stable due to inhibitory connections. In such networks, external input to inhibitory neurons reduced their responses due to the withdrawal of network excitation (Tsodyks et al., 1997). This paradoxical effect of the ISN was observed in recent surround suppression experiments in the primary visual cortex with direct membrane conductance measurements (Ozeki et al., 2009). In our work, we used a linearized rate model of both excitatory and inhibitory populations with weight matrices dependent on the locations of the neurons. We applied this model to study surround suppression effects and searched for networks with appropriated parameters. The same model was also applied in the study of spontaneous activities in awake ferrets.
520 $aBoth studies led to network solutions in the ISN regime, suggesting that ISN mechanisms might play an important role in the neural circuitry in the primary visual cortex.
653 0 $aNeurosciences
653 0 $aBiophysics
856 40 $uhttps://doi.org/10.7916/D88P66HW$zClick for full text
852 8 $blweb$hDISSERTATIONS